Automatic Initiation Of Reference Spectra Library Generation For Optical Monitoring

ABSTRACT

A method of generating reference spectra includes polishing a first substrate in a polishing apparatus, measuring a sequence of spectra from the first substrate during polishing with an in-situ optical monitoring system, for each spectrum in the sequence of spectra, determining a best matching reference spectrum from a first plurality of first reference spectra to generate a sequence of reference spectra, calculating a value of a metric of fit of the sequence of spectra to the sequence of reference spectra, comparing the value of the metric of fit to a threshold value and determining whether to generate a second library based on the comparison, and if the second library is determined to be generated, storing the sequence of spectra as a second plurality of reference spectra.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit under 35 U.S.C. §120 and is a continuation of U.S. application Ser. No. 13/088,144, filed on Apr. 15, 2011, which claims the benefit under 35 U.S.C. §119(e) of U.S. Application Ser. No. 61/352,325, filed on Jun. 7, 2010, both disclosures of which are incorporated by reference.

TECHNICAL FIELD

The present disclosure relates generally to the creation of reference spectra for optical monitoring, e.g., during chemical mechanical polishing.

BACKGROUND

An integrated circuit is typically formed on a substrate by the sequential deposition of conductive, semiconductive, or insulative layers on a silicon wafer. One fabrication step involves depositing a filler layer over a non-planar surface and planarizing the filler layer. For certain applications, the filler layer is planarized until the top surface of a patterned layer is exposed. A conductive filler layer, for example, can be deposited on a patterned insulative layer to fill the trenches or holes in the insulative layer. After planarization, the portions of the conductive layer remaining between the raised pattern of the insulative layer form vias, plugs, and lines that provide conductive paths between thin film circuits on the substrate. For other applications, such as oxide polishing, the filler layer is planarized until a predetermined thickness is left over the non planar surface. In addition, planarization of the substrate surface is usually required for photolithography.

Chemical mechanical polishing (CMP) is one accepted method of planarization. This planarization method typically requires that the substrate be mounted on a carrier head. The exposed surface of the substrate is typically placed against a rotating polishing pad with a durable roughened surface. The carrier head provides a controllable load on the substrate to push it against the polishing pad. A polishing liquid, such as a slurry with abrasive particles, is typically supplied to the surface of the polishing pad.

One problem in CMP is using an appropriate polishing rate to achieve a desirable profile, e.g., a substrate layer that has been planarized to a desired flatness or thickness, or a desired amount of material has been removed. Variations in the initial thickness of a substrate layer, the slurry composition, the polishing pad condition, the relative speed between the polishing pad and a substrate, and the load on a substrate can cause variations in the material removal rate across a substrate, and from substrate to substrate. These variations cause variations in the time needed to reach the polishing endpoint and the amount removed. Therefore, it may not be possible to determine the polishing endpoint merely as a function of the polishing time, or to achieve a desired profile merely by applying a constant pressure.

In some systems, a substrate is optically monitored in-situ during polishing, e.g., through a window in the polishing pad. However, existing optical monitoring techniques may not satisfy increasing demands of semiconductor device manufacturers.

SUMMARY

In one aspect, a computer-implemented method of generating reference spectra includes polishing a first substrate in a polishing apparatus, measuring a sequence of spectra from the first substrate during polishing with an in-situ optical monitoring system, for each spectrum in the sequence of spectra, determining a best matching reference spectrum from a first plurality of first reference spectra to generate a sequence of reference spectra, calculating a value of a metric of fit of the sequence of spectra to the sequence of reference spectra, comparing the value of the metric of fit to a threshold value and determining whether to generate a second library based on the comparison, and if the second library is determined to be generated, storing the sequence of spectra as a second plurality of reference spectra.

Implementations may include one or more of the following features. A second substrate may be polished in the polishing apparatus, a second sequence of spectra may be measured from the second substrate during polishing with the in-situ monitoring system, and for each spectrum in the second sequence of spectra, a best matching reference spectrum may be determined from a set of reference spectra including the second plurality of reference spectra to generate a second sequence of reference spectra. The set of reference spectra may include the first plurality of reference spectra. The set of reference spectra may not include the first plurality of reference spectra. Each reference spectrum in the second plurality of reference spectra may be associated with an index value proportional to a number of platen rotation at which the spectrum was measured. For each spectrum in the second sequence of reference spectra, an associated index value may be determined to generate a sequence of index values, and a linear function may be fit to the sequence of index values. A target index value may be determined. The steps of measuring a second sequence of spectra, determining a best matching reference spectrum, determining an associated index value and fitting a linear function may be performed for a plurality of zones of the second substrate. A projected time at which at least one zone of the second substrate will reach the target index value may be determined based on the linear function. A polishing parameter for the at least one zone of the second substrate may be adjusted to adjust the polishing rate of the at least one zone such that the at least one zone has closer to the target index value at the projected time than without such adjustment. An endpoint of polishing of the second substrate may be determined based on a time that the linear function reaches a target index value. Determining the target index value may include calculating the target index value using at least a first value. The first value may be a number of platen rotations at which an endpoint was detected for a third substrate that was polished prior to the first substrate. Calculating the target index value may include calculating an average of a plurality of values including the first value and a second value. The second value may be a number of platen rotations at which an endpoint was detected for a fourth substrate that was polished prior to the third substrate. The fourth substrate, third substrate and first substrate may be polished consecutively. The first substrate may be monitored with a second in-situ monitoring system other than the optical monitoring system. A polishing endpoint of the first substrate may be detected with the second in-situ monitoring system. Determining the target index value may include determining the number of platen rotations at the time the second in-situ monitoring system detects the polishing endpoint of the first substrate. The second in-situ monitoring system may include one or more of a motor torque monitoring system, an eddy current monitoring system, a friction monitoring system, or a monochromatic optical monitoring system post-polish thickness measurement of the first substrate may be performed. An initial index value may be determined, and determining the target index value may include adjusting the initial index value based on the post-polish thickness measurement. For each spectrum in the first sequence of reference spectra, an associated index value may be determined to generate a sequence of index values. A linear function may be fit to the sequence of index values. The metric of fit may include a goodness of fit of the linear function to the sequence of index values. The goodness of fit may include a sum of squared differences between the sequence of index values and the linear function. Calculating the value of the metric of fit may include for each spectrum in the sequence of spectra, determining a difference between the spectrum and the best matching reference spectrum to provide a sequence of differences, and accumulating the differences. Determining a difference between the spectrum and the best matching reference spectrum may includes calculating a sum of absolute value of differences in intensities over a range of wavelengths or calculating a sum of square differences in intensities over a range of wavelengths.

In other aspects, polishing systems and computer-program products tangibly embodied on a computer readable medium are provided to carry out these methods.

Certain implementations may have one or more of the following advantages. Creation of reference spectra and a target index value can be triggered automatically, thus permitting generation of a new reference library which can be used for polishing of subsequent substrates (e.g., subsequent substrates of the same lot). Adding or switching to a new library when a prior library does not provide a good fit can improving reliability and accuracy of the endpoint determination and/or reduce within-wafer non-uniformity. Time required by the semiconductor foundry to begin polishing of a new device substrate (e.g., a substrate generated based on a new mask pattern) can be reduced, and the need for different preset algorithms for each device/mask pattern can be eliminated.

The details of one or more implementations are set forth in the accompanying drawings and the description below. Other features, aspects, and advantages will become apparent from the description, the drawings, and the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a schematic cross-sectional view of an example of a polishing apparatus having two polishing heads.

FIG. 2 illustrates a schematic top view of a substrate having multiple zones.

FIG. 3A illustrates a top view of a polishing pad and shows locations where in-situ measurements are taken on a first substrate.

FIG. 3B illustrates a top view of a polishing pad and shows locations where in-situ measurements are taken on a second substrate.

FIG. 4 illustrates a measured spectrum from the in-situ optical monitoring system.

FIG. 5 illustrates a library of reference spectra.

FIG. 6 illustrates an index trace.

FIG. 7 illustrates a plurality of index traces for different zones of different substrates.

FIG. 8 illustrates a calculation of a plurality of desired slopes for a plurality of adjustable zones based on a time that an index trace of a reference zone reaches a target index.

FIG. 9 illustrates a calculation of a plurality of desired slopes for a plurality of adjustable zones based on a time that an index trace of a reference zone reaches a target index.

FIG. 10 illustrates a plurality of index traces for different zones of different substrates, with different zones having different target indexes.

FIG. 11 is a flow diagram of an example process for adjusting the polishing rate of a plurality of zones in a plurality of substrates such that the plurality of zones have approximately the same thickness at the target time.

Like reference numbers and designations in the various drawings indicate like elements.

DETAILED DESCRIPTION

For optical monitoring systems used to monitor the spectra of reflected light from a substrate undergoing polishing, creation of reference spectra and a targets can be time-consuming. However, creation of a new library of reference spectra can be triggered automatically. For example, if the reference spectra of a library does not provide a good fit during polishing of a substrate, e.g., the fit is beyond some threshold value, then the measured spectra from that substrate can be stored as the reference spectra of a new library. Thereafter, optical monitoring of subsequent substrates can proceed using the new library.

FIG. 1 illustrates an example of a polishing apparatus 100. The polishing apparatus 100 includes a rotatable disk-shaped platen 120 on which a polishing pad 110 is situated. The platen is operable to rotate about an axis 125. For example, a motor 121 can turn a drive shaft 124 to rotate the platen 120. The polishing pad 110 can be detachably secured to the platen 120, for example, by a layer of adhesive. The polishing pad 110 can be a two-layer polishing pad with an outer polishing layer 112 and a softer backing layer 114.

The polishing apparatus 100 can include a combined slurry/rinse arm 130. During polishing, the arm 130 is operable to dispense a polishing liquid 132, such as a slurry, onto the polishing pad 110. While only one slurry/rinse arm 130 is shown, additional nozzles, such as one or more dedicated slurry arms per carrier head, can be used. The polishing apparatus can also include a polishing pad conditioner to abrade the polishing pad 110 to maintain the polishing pad 110 in a consistent abrasive state.

In this implementation, the polishing apparatus 100 includes two (or two or more) carrier heads 140. Each carrier head 140 is operable to hold a substrate 10 (e.g., a first substrate 10 a at one carrier head and a second substrate 10 b at the other carrier head) against the polishing pad 110, i.e., the same polishing pad. Each carrier head 140 can have independent control of the polishing parameters, for example pressure, associated with each respective substrate. In some implementations, the polishing apparatus 100 includes multiple carrier heads, but the carrier heads (and the substrates held) are located over different polishing pads rather than the same polishing pad. For such implementations, the discussion below of obtaining simultaneous endpoint of multiple substrates on the same platen does not apply, but the discussion of obtaining simultaneous endpoint of multiple zones (albeit on a single substrate) would still be applicable.

In particular, each carrier head 140 can include a retaining ring 142 to retain the substrate 10 below a flexible membrane 144. Each carrier head 140 also includes a plurality of independently controllable pressurizable chambers defined by the membrane, e.g., 3 chambers 146 a-146 c, which can apply independently controllable pressurizes to associated zones 148 a-148 c on the flexible membrane 144 and thus on the substrate 10 (see FIG. 2). Referring to FIG. 2, the center zone 148 a can be substantially circular, and the remaining zones 148 b-148 e can be concentric annular zones around the center zone 148 a. Although only three chambers are illustrated in FIGS. 1 and 2 for ease of illustration, there could be two chambers, or four or more chambers, e.g., five chambers.

Returning to FIG. 1, each carrier head 140 is suspended from a support structure 150, e.g., a carousel, and is connected by a drive shaft 152 to a carrier head rotation motor 154 so that the carrier head can rotate about an axis 155. Optionally each carrier head 140 can oscillate laterally, e.g., on sliders on the carousel 150; or by rotational oscillation of the carousel itself In operation, the platen is rotated about its central axis 125, and each carrier head is rotated about its central axis 155 and translated laterally across the top surface of the polishing pad.

While only two carrier heads 140 are shown, more carrier heads can be provided to hold additional substrates so that the surface area of polishing pad 110 may be used efficiently. Thus, the number of carrier head assemblies adapted to hold substrates for a simultaneous polishing process can be based, at least in part, on the surface area of the polishing pad 110.

The polishing apparatus also includes an in-situ monitoring system 160, which can be used to determine whether to adjust a polishing rate or an adjustment for the polishing rate as discussed below. The in-situ monitoring system 160 can include an optical monitoring system, e.g., a spectrographic monitoring system, or an eddy current monitoring system.

In one embodiment, the monitoring system 160 is an optical monitoring system. An optical access through the polishing pad is provided by including an aperture (i.e., a hole that runs through the pad) or a solid window 118. The solid window 118 can be secured to the polishing pad 110, e.g., as a plug that fills an aperture in the polishing pad, e.g., is molded to or adhesively secured to the polishing pad, although in some implementations the solid window can be supported on the platen 120 and project into an aperture in the polishing pad.

The optical monitoring system 160 can include a light source 162, a light detector 164, and circuitry 166 for sending and receiving signals between a remote controller 190, e.g., a computer, and the light source 162 and light detector 164. One or more optical fibers can be used to transmit the light from the light source 162 to the optical access in the polishing pad, and to transmit light reflected from the substrate 10 to the detector 164. For example, a bifurcated optical fiber 170 can be used to transmit the light from the light source 162 to the substrate 10 and back to the detector 164. The bifurcated optical fiber an include a trunk 172 positioned in proximity to the optical access, and two branches 174 and 176 connected to the light source 162 and detector 164, respectively.

In some implementations, the top surface of the platen can include a recess 128 into which is fit an optical head 168 that holds one end of the trunk 172 of the bifurcated fiber. The optical head 168 can include a mechanism to adjust the vertical distance between the top of the trunk 172 and the solid window 118.

The output of the circuitry 166 can be a digital electronic signal that passes through a rotary coupler 129, e.g., a slip ring, in the drive shaft 124 to the controller 190 for the optical monitoring system. Similarly, the light source can be turned on or off in response to control commands in digital electronic signals that pass from the controller 190 through the rotary coupler 129 to the optical monitoring system 160. Alternatively, the circuitry 166 could communicate with the controller 190 by a wireless signal.

The light source 162 can be operable to emit white light. In one implementation, the white light emitted includes light having wavelengths of 200-800 nanometers. A suitable light source is a xenon lamp or a xenon mercury lamp.

The light detector 164 can be a spectrometer. A spectrometer is an optical instrument for measuring intensity of light over a portion of the electromagnetic spectrum. A suitable spectrometer is a grating spectrometer. Typical output for a spectrometer is the intensity of the light as a function of wavelength (or frequency).

As noted above, the light source 162 and light detector 164 can be connected to a computing device, e.g., the controller 190, operable to control their operation and receive their signals. The computing device can include a microprocessor situated near the polishing apparatus, e.g., a programmable computer. With respect to control, the computing device can, for example, synchronize activation of the light source with the rotation of the platen 120.

In some implementations, the light source 162 and detector 164 of the in-situ monitoring system 160 are installed in and rotate with the platen 120. In this case, the motion of the platen will cause the sensor to scan across each substrate. In particular, as the platen 120 rotates, the controller 190 can cause the light source 162 to emit a series of flashes starting just before and ending just after each substrate 10 passes over the optical access. Alternatively, the computing device can cause the light source 162 to emit light continuously starting just before and ending just after each substrate 10 passes over the optical access. In either case, the signal from the detector can be integrated over a sampling period to generate spectra measurements at a sampling frequency.

In operation, the controller 190 can receive, for example, a signal that carries information describing a spectrum of the light received by the light detector for a particular flash of the light source or time frame of the detector. Thus, this spectrum is a spectrum measured in-situ during polishing.

As shown by in FIG. 3A, if the detector is installed in the platen, due to the rotation of the platen (shown by arrow 204), as the window 108 travels below one carrier head (e.g., the carrier head holding the first substrate 10 a), the optical monitoring system making spectra measurements at a sampling frequency will cause the spectra measurements to be taken at locations 201 in an arc that traverses the first substrate 10 a. For example, each of points 201 a-201 k represents a location of a spectrum measurement by the monitoring system of the first substrate 10 a (the number of points is illustrative; more or fewer measurements can be taken than illustrated, depending on the sampling frequency). As shown, over one rotation of the platen, spectra are obtained from different radii on the substrate 10 a. That is, some spectra are obtained from locations closer to the center of the substrate 10 a and some are closer to the edge. Similarly, as shown by in FIG. 3B, due to the rotation of the platen, as the window travels below the other carrier head (e.g., the carrier head holding the second substrate 10 b) the optical monitoring system making spectra measurements at the sampling frequency will cause the spectra measurements to be taken at locations 202 along an arc that traverses the second substrate 10 b.

Thus, for any given rotation of the platen, based on timing and motor encoder information, the controller can determine which substrate, e.g., substrate 10 a or 10 b, is the source of the measured spectrum. In addition, for any given scan of the optical monitoring system across a substrate, e.g., substrate 10 a or 10 b, based on timing, motor encoder information, and optical detection of the edge of the substrate and/or retaining ring, the controller 190 can calculate the radial position (relative to the center of the particular substrate 10 a or 10 b being scanned) for each measured spectrum from the scan. The polishing system can also include a rotary position sensor, e.g., a flange attached to an edge of the platen that will pass through a stationary optical interrupter, to provide additional data for determination of which substrate and the position on the substrate of the measured spectrum. The controller can thus associate the various measured spectra with the controllable zones 148 b-148 e (see FIG. 2) on the substrates 10 a and 10 b. In some implementations, the time of measurement of the spectrum can be used as a substitute for the exact calculation of the radial position.

Over multiple rotations of the platen, for each zone of each substrate, a sequence of spectra can be obtained over time. Without being limited to any particular theory, the spectrum of light reflected from the substrate 10 evolves as polishing progresses (e.g., over multiple rotations of the platen, not during a single sweep across the substrate) due to changes in the thickness of the outermost layer, thus yielding a sequence of time-varying spectra. Moreover, particular spectra are exhibited by particular thicknesses of the layer stack.

In some implementations, the controller, e.g., the computing device, can be programmed to compare a measured spectrum to multiple reference spectra to and determine which reference spectrum provides the best match. In particular, the controller can be programmed to compare each spectrum from a sequence of measured spectra from each zone of each substrate to multiple reference spectra to generate a sequence of best matching reference spectra for each zone of each substrate.

As used herein, a reference spectrum is a predefined spectrum generated prior to polishing of the substrate. A reference spectrum can have a pre-defined association, i.e., defined prior to the polishing operation, with a value representing a time in the polishing process at which the spectrum is expected to appear, assuming that the actual polishing rate follows an expected polishing rate. Alternatively or in addition, the reference spectrum can have a pre-defined association with a value of a substrate property, such as a thickness of the outermost layer.

A reference spectrum can be generated empirically, e.g., by measuring the spectra from a test substrate, e.g., a test substrate having a known initial layer thicknesses. For example, to generate a plurality of reference spectra, a set-up substrate is polished using the same polishing parameters that would be used during polishing of device wafers while a sequence of spectra are collected. For each spectrum, a value is recorded representing the time in the polishing process at which the spectrum was collected. For example, the value can be an elapsed time, or a number of platen rotations. The substrate can be overpolished, i.e., polished past a desired thickness, so that the spectrum of the light that reflected from the substrate when the target thickness is achieved can be obtained.

In order to associate each spectrum with a value of a substrate property, e.g., a thickness of the outermost layer, the initial spectra and property of a “set-up” substrate with the same pattern as the product substrate can be measured pre-polish at a metrology station. The final spectrum and property can also be measured post-polish with the same metrology station or a different metrology station. The properties for spectra between the initial spectra and final spectra can be determined by interpolation, e.g., linear interpolation based on elapsed time at which the spectra of the test substrate was measured.

In addition to being determined empirically, some or all of the reference spectra can be calculated from theory, e.g., using an optical model of the substrate layers. For example, and optical model can be used to calculate a reference spectrum for a given outer layer thickness D. A value representing the time in the polishing process at which the reference spectrum would be collected can be calculated, e.g., by assuming that the outer layer is removed at a uniform polishing rate. For example, the time Ts for a particular reference spectrum can be calculated simply by assuming a starting thickness D0 and uniform polishing rate R (Ts=(D0−D)/R). As another example, linear interpolation between measurement times T1, T2 for the pre-polish and post-polish thicknesses D1, D2 (or other thicknesses measured at the metrology station) based on the thickness D used for the optical model can be performed (Ts=T2−T1*(D1−D)/(D1−D2)).

Referring to FIGS. 4 and 5, during polishing, a measured spectrum 300 (see FIG. 4) can be compared to reference spectra 320 from one or more libraries 310 (see FIG. 5). As used herein, a library of reference spectra is a collection of reference spectra which represent substrates that share a property in common. However, the property shared in common in a single library may vary across multiple libraries of reference spectra. For example, two different libraries can include reference spectra that represent substrates with two different underlying thicknesses. For a given library of reference spectra, variations in the upper layer thickness, rather than other factors (such as differences in wafer pattern, underlying layer thickness, or layer composition), can primarily responsible for the differences in the spectral intensities.

Reference spectra 320 for different libraries 310 can be generated by polishing multiple “set-up” substrates with different substrate properties (e.g., underlying layer thicknesses, or layer composition) and collecting spectra as discussed above; the spectra from one set-up substrate can provide a first library and the spectra from another substrate with a different underlying layer thickness can provide a second library. Alternatively or in addition, reference spectra for different libraries can be calculated from theory, e.g., spectra for a first library can be calculated using the optical model with the underlying layer having a first thickness, and spectra for a second library can be calculated using the optical model with the underlying layer having a different one thickness.

In some implementations, each reference spectrum 320 is assigned an index value 330. In general, each library 310 can include many reference spectra 320, e.g., one or more, e.g., exactly one, reference spectra for each platen rotation over the expected polishing time of the substrate. This index 330 can be the value, e.g., a number, representing the time in the polishing process at which the reference spectrum 320 is expected to be observed. The spectra can be indexed so that each spectrum in a particular library has a unique index value. The indexing can be implemented so that the index values are sequenced in an order in which the spectra were measured. An index value can be selected to change monotonically, e.g., increase or decrease, as polishing progresses. In particular, the index values of the reference spectra can be selected so that they form a linear function of time or number of platen rotations (assuming that the polishing rate follows that of the model or test substrate used to generate the reference spectra in the library). For example, the index value can be proportional, e.g., equal, to a number of platen rotations at which the reference spectra was measured for the test substrate or would appear in the optical model. Thus, each index value can be a whole number. The index number can represent the expected platen rotation at which the associated spectrum would appear.

The reference spectra and their associated index values can be stored in a reference library. For example, each reference spectrum 320 and its associated index value 330 can be stored in a record 340 of database 350. The database 350 of reference libraries of reference spectra can be implemented in memory of the computing device of the polishing apparatus.

In some implementations, the reference spectra can be generated automatically for a given lot of substrates. The first substrate of a lot, or the first substrate having a new device/mask pattern, is polished while the optical monitoring system measures spectra, but without control of the polishing rate (discussed below with reference to FIGS. 8-10). This generates a sequence of spectra for the first substrate, with at least one spectrum per zone per sweep of the window below the substrate, e.g., per platen rotation.

A set of reference spectra, e.g., for each zone, is automatically generated from the sequence of spectra for this first substrate. In brief, the spectra measured from the first substrate become the reference spectra. More particularly, the spectra measured from each zone of the first substrate become the reference spectra for that zone. Each reference spectrum is associated with the platen rotation number at which it was measured from the first substrate. If there are multiple measured spectra for a particular zone of the first substrate at a particular platen rotation, then the measured spectra can be combined, e.g., averaged to generate an average spectrum for that platen rotation. Alternatively, the reference library can simply keep each spectrum as a separate reference spectrum, and compare the measured spectrum of the subsequent substrate against each reference spectrum to find the best match, as described below. Optionally, the database can store a default set of reference spectra, which are then replaced by the set of reference spectra is generated from the sequence of spectra from the first substrate.

As noted above, the target index value can also be generated automatically. In some implementations, the first substrate is polished for a fixed polishing time, and the platen rotation number at the end of the fixed polishing time can be set as the target index value. In some implementations, instead of a fixed polishing time, some form of wafer-to-wafer feedforward or feedback control from the factory host or CMP tool (e.g., as described in U.S. application Ser. No. 12/625,480, incorporated by reference) can be used to adjust the polishing time for the first wafer. The platen rotation number at the end of the adjusted polishing time can be set as the target index value.

In some implementations, as shown in FIG. 1, the polishing system can include another endpoint detection system 180 (other than the spectrographic optical monitoring system 160), e.g., using friction measurement (e.g., as described in U.S. Pat. No. 7,513,818, incorporated by reference), eddy current (e.g., as described in U.S. Pat. No. 6,924,641, incorporated by reference), motor torque (e.g., as described in U.S. Pat. No. 5,846,882, incorporated by reference, or monochromatic light, e.g., a laser (e.g., as described in U.S. Pat. No. 6,719,818, incorporated by reference). The other endpoint detection system 180 can be in a separate recess 129 in the platen, or in the same recess 128 as the optical monitoring system 160. In addition, although illustrated in FIG. 1 as on the opposite side of the axis of rotation of the platen 125, this is not necessary, although the sensor of the endpoint detection system 180 can have the same radial distance from the axis 125 as the optical monitoring system 160. This other endpoint detection system 180 can be used to detect the polishing endpoint of the first substrate, and the platen rotation number at the time that the other endpoint detection system detects the endpoint can be set as the target index value. In some implementations, a post-polish thickness measurement of the first substrate can be made, and an initial target index value as determined by one of the techniques above can be adjusted, e.g., by linear scaling, e.g., by multiplying by the ratio of the target thickness to the post-polish measured thickness.

In addition, the target index value can be further refined based on new substrates processed and the new desired endpoint time. In some implementations, rather than using just the first substrate to set the target index value, the target index can be dynamically determined based on a multiple previously polished substrates, e.g., by combining, e.g., weighted averaging, of the endpoint times indicated by the wafer-to-wafer feedforward or feedback control or the other endpoint detection systems. A predefined number of the previously polished substrates, e.g., four or less, that were polished immediately prior to the present substrate, can be used in the calculation.

In any event, once a target index value has been determined, one or more subsequent substrates can be polished using the techniques described below to adjust the pressure applied to one or more zones so that the zones reach the target index at closer to the same time (or at an expected endpoint time, are closer to their target index) than without such adjustment.

As noted above, for each zone of each substrate, based on the sequence of measured spectra or that zone and substrate, the controller 190 can be programmed to generate a sequence of best matching spectra. A best matching reference spectrum can be determined by comparing a measured spectrum to the reference spectra from a particular library.

In some implementations, the best matching reference spectrum can be determined by calculating, for each reference spectra, a sum of squared differences between the measured spectrum and the reference spectrum. The reference spectrum with the lowest sum of squared differences has the best fit. Other techniques for finding a best matching reference spectrum are possible.

A method that can be applied to decrease computer processing is to limit the portion of the library that is searched for matching spectra. The library typically includes a wider range of spectra than will be obtained while polishing a substrate. During substrate polishing, the library searching is limited to a predetermined range of library spectra. In some embodiments, the current rotational index N of a substrate being polished is determined. For example, in an initial platen rotation, N can be determined by searching all of the reference spectra of the library. For the spectra obtained during a subsequent rotation, the library is searched within a range of freedom of N. That is, if during one rotation the index number is found to be N, during a subsequent rotation which is X rotations later, where the freedom is Y, the range that will be searched from (N+X)−Y to (N+X)+Y.

Referring to FIG. 6, which illustrates the results for only a single zone of a single substrate, the index value of each of the best matching spectra in the sequence can be determined to generate a time-varying sequence of index values 212. This sequence of index values can be termed an index trace 210. In some implementations, an index trace is generated by comparing each measured spectrum to the reference spectra from exactly one library. In general, the index trace 210 can include one, e.g., exactly one, index value per sweep of the optical monitoring system below the substrate.

For a given index trace 210, where there are multiple spectra measured for a particular substrate and zone in a single sweep of the optical monitoring system (termed “current spectra”), a best match can be determined between each of the current spectra and the reference spectra of one or more, e.g., exactly one, library. In some implementations, each selected current spectra is compared against each reference spectra of the selected library or libraries. Given current spectra e, f, and g, and reference spectra E, F, and G, for example, a matching coefficient could be calculated for each of the following combinations of current and reference spectra: e and E, e and F, e and G, f and E, f and F, f and G, g and E, g and F, and g and G. Whichever matching coefficient indicates the best match, e.g., is the smallest, determines the best-matching reference spectrum, and thus the index value. Alternatively, in some implementations, the current spectra can be combined, e.g., averaged, and the resulting combined spectrum is compared against the reference spectra to determine the best match, and thus the index value.

In some implementations, for at least some zones of some substrates, a plurality of index traces can be generated. For a given zone of a given substrate, an index trace can be generated for each reference library of interest. That is, for each reference library of interest to the given zone of the given substrate, each measured spectrum in a sequence of measured spectra is compared to reference spectra from a given library, a sequence of the best matching reference spectra is determined, and the index values of the sequence of best matching reference spectra provide the index trace for the given library.

In summary, each index trace includes a sequence 210 of index values 212, with each particular index value 212 of the sequence being generated by selecting the index of the reference spectrum from a given library that is the closest fit to the measured spectrum. The time value for each index of the index trace 210 can be the same as the time at which the measured spectrum was measured.

Referring to FIG. 7, a plurality of index traces is illustrated. As discussed above, an index trace can be generated for each zone of each substrate. For example, a first sequence 210 of index values 212 (shown by hollow circles) can be generated for a first zone of a first substrate, a second sequence 220 of index values 222 (shown by solid squares) can be generated for a second zone of the first substrate, a third sequence 230 of index values 232 (shown by solid circles) can be generated for a first zone of a second substrate, and a fourth sequence 240 of index values 242 (shown by empty circles) can be generated for a second zone of the second substrate.

As shown in FIG. 7, for each substrate index trace, a polynomial function of known order, e.g., a first-order function (e.g., a line) is fit to the sequence of index values for the associated zone and wafer, e.g., using robust line fitting. For example, a first line 214 can be fit to index values 212 for the first zone of the first substrate, a second line 224 can be fit to the index values 222 of the second zone of the first substrate, a third line 234 can be fit to the index values 232 of the first zone of the second substrate, and a fourth line 244 can be fit to the index values 242 of the second zone of the second substrate. Fitting of a line to the index values can include calculation of the slope S of the line and an x-axis intersection time T at which the line crosses a starting index value, e.g., 0. The function can be expressed in the form I(t)=S·(t−T), where t is time. The x-axis intersection time T can have a negative value, indicating that the starting thickness of the substrate layer is less than expected. Thus, the first line 214 can have a first slope S1 and a first x-axis intersection time T1, the second line 224 can have a second slope S2 and a second x-axis intersection time T2, the third line 234 can have a third slope S3 and a third x-axis intersection time T3, and the fourth line 244 can have a fourth slope S4 and a fourth x-axis intersection time T4.

Where multiple substrates are being polished simultaneously, e.g., on the same polishing pad, polishing rate variations between the substrates can lead to the substrates reaching their target thickness at different times. On the one hand, if polishing is halted simultaneously for the substrates, then some will not be at the desired thickness. On the other hand, if polishing for the substrates is stopped at different times, then some substrates may have defects and the polishing apparatus is operating at lower throughput.

By determining a polishing rate for each zone for each substrate from in-situ measurements, a projected endpoint time for a target thickness or a projected thickness for target endpoint time can be determined for each zone for each substrate, and the polishing rate for at least one zone of at least one substrate can be adjusted so that the substrates achieve closer endpoint conditions. By “closer endpoint conditions,” it is meant that the zones of the substrates would reach their target thickness closer to the same time than without such adjustment, or if the substrates halt polishing at the same time, that the zones of the substrates would have closer to the same thickness than without such adjustment.

At some during the polishing process, e.g., at a time T0, a polishing parameter for at least one zone of at least one substrate, e.g., at least one zone of every substrate, is adjusted to adjust the polishing rate of the zone of the substrate such that at a polishing endpoint time, the plurality of zones of the plurality of substrates are closer to their target thickness than without such adjustment. In some embodiments, each zone of the plurality of substrates can have approximately the same thickness at the endpoint time.

Referring to FIG. 8, in some implementations, one zone of one substrate is selected as a reference zone, and a projected endpoint time TE at which the reference zone will reach a target index IT is determined. For example, as shown in FIG. 8, the first zone of the first substrate is selected as the reference zone, although a different zone and/or a different substrate could be selected. The target thickness IT is set by the user prior to the polishing operation and stored.

In order to determine the projected time at which the reference zone will reach the target index, the intersection of the line of the reference zone, e.g., line 214, with the target index, IT, can be calculated. Assuming that the polishing rate does not deviate from the expected polishing rate through the remainder polishing process, then the sequence of index values should retain a substantially linear progression. Thus, the expected endpoint time TE can be calculated as a simple linear interpolation of the line to the target index IT, e.g., IT=S·(TE−T). Thus, in the example of FIG. 8 in which the first zone of the second substrate is selected as the reference zone, with associated third line 234, IT=S1·(TE−T1), i.e., TE=IT/S1−T1.

One or more zones, e.g., all zones, other than the reference zone (including zones on other substrates) can be defined as adjustable zones. Where the lines for the adjustable zones meet the expected endpoint time TE define projected endpoint for the adjustable zones. The linear function of each adjustable zone, e.g., lines 224, 234 and 244 in FIG. 8, can thus be used to extrapolate the index, e.g., EI2, EI3 and EI4, that will be achieved at the expected endpoint time ET for the associated zone. For example, the second line 224 can be used to extrapolate the expected index, EI2, at the expected endpoint time ET for the second zone of the first substrate, the third line 234 can be used to extrapolate the expected index, EI3, at the expected endpoint time ET for the first zone of the second substrate, and the fourth line can be used to extrapolate the expected index, EI4, at the expected endpoint time ET for the second zone of the second substrate.

As shown in FIG. 8, if no adjustments are made to the polishing rate of any of the zones of any the substrates after time T0, then if endpoint is forced at the same time for all substrates, then each substrate can have a different thickness, or each substrate could have a different endpoint time (which is not desirable because it can lead to defects and loss of throughput). Here, for example, the second zone of the first substrate (shown by line 224) would endpoint at an expected index EI2 greater (and thus a thickness less) than the expected index of the first zone of the first substrate. Likewise, the first zone of the second substrate would endpoint at an expected index ET3 less (and thus a thickness greater) than the first zone of the first substrate.

If, as shown in FIG. 8, the target index will be reached at different times for different substrates (or equivalently, the adjustable zones will have different expected indexes at the projected endpoint time of reference zone), the polishing rate can be adjusted upwardly or downwardly, such that the substrates would reach the target index (and thus target thickness) closer to the same time than without such adjustment, e.g., at approximately the same time, or would have closer to the same index value (and thus same thickness), at the target time than without such adjustment, e.g., approximately the same index value (and thus approximately the same thickness).

Thus, in the example of FIG. 8, commencing at a time T0, at least one polishing parameter for the second zone of the first substrate is modified so that the polishing rate of the zone is decreased (and as a result the slope of the index trace 220 is decreased). Also, in this example, at least one polishing parameter for the first zone of the second substrate is modified so that the polishing rate of the zone is decreased (and as a result the slope of the index trace 230 is decreased). Similarly, in this example, at least one polishing parameter for the second zone of the second substrate is modified so that the polishing rate of the zone is decreased (and as a result the slope of the index trace 240 is decreased). As a result both zones of both substrates would reach the target index (and thus the target thickness) at approximately the same time (or if polishing of both substrates halts at the same time, both zones of both substrates will end with approximately the same thickness).

In some implementations, if the projected index at the expected endpoint time ET indicate that a zone of the substrate is within a predefined range of the target thickness, then no adjustment may be required for that zone. The range may be 2%, e.g., within 1%, of the target index.

The polishing rates for the adjustable zones can be adjusted so that all of the zones are closer to the target index at the expected endpoint time than without such adjustment. For example, a reference zone of the reference substrate might be chosen and the processing parameters for all of the other zone adjusted such that all of the zones will endpoint at approximately the projected time of the reference substrate. The reference zone can be, for example, a predetermined zone, e.g., the center zone 148 a or the zone 148 b immediately surrounding the center zone, the zone having the earliest or latest projected endpoint time of any of the zones of any of the substrates, or the zone of a substrate having the desired projected endpoint. The earliest time is equivalent to the thinnest substrate if polishing is halted at the same time. Likewise, the latest time is equivalent to the thickest substrate if polishing is halted at the same time. The reference substrate can be, for example, a predetermined substrate, a substrate having the zone with the earliest or latest projected endpoint time of the substrates. The earliest time is equivalent to the thinnest zone if polishing is halted at the same time. Likewise, the latest time is equivalent to the thickest zone if polishing is halted at the same time.

For each of the adjustable zones, a desired slope for the index trace can be calculated such that the adjustable zone reaches the target index at the same time as the reference zone. For example, the desired slope SD can be calculated from (IT−I)=SD*(TE−T0), where I is the index value (calculated from the linear function fit to the sequence of index values) at time T0 polishing parameter is to be changed, IT is the target index, and TE is the calculated expected endpoint time. In the example of FIG. 8, for the second zone of the first substrate, the desired slope SD2 can be calculated from (IT−I2)=SD2*(TE−T0), for the first zone of the second substrate, the desired slope SD3 can be calculated from (IT−I3)=SD3*(TE−T0), and for the second zone of the second substrate, the desired slope SD4 can be calculated from (IT−I4)=SD4*(TE−T0).

Referring to FIG. 9, in some implementations, there is no reference zone. For example, the expected endpoint time TE′ can be a predetermined time, e.g., set by the user prior to the polishing process, or can be calculated from an average or other combination of the expected endpoint times of two or more zones (as calculated by projecting the lines for various zones to the target index) from one or more substrates. In this implementation, the desired slopes are calculated substantially as discussed above (using the expected endpoint time TE′ rather than TE), although the desired slope for the first zone of the first substrate must also be calculated, e.g., the desired slope SD1 can be calculated from (IT−I1)=SD1*(TE′−T0).

Referring to FIG. 10, in some implementations, (which can also be combined with the implementation shown in FIG. 9), there are different target indexes for different zones. This permits the creation of a deliberate but controllable non-uniform thickness profile on the substrate. The target indexes can be entered by user, e.g., using an input device on the controller. For example, the first zone of the first substrate can have a first target indexes IT1, the second zone of the first substrate can have a second target indexes IT2, the first zone of the second substrate can have a third target indexes IT3, and the second zone of the second substrate can have a fourth target indexes IT4.

The desired slope SD for each adjustable zone can be calculated from (IT−I)=SD*(TE−T0), where I is the index value of the zone (calculated from the linear function fit to the sequence of index values for the zone) at time T0 at which the polishing parameter is to be changed, IT is the target index of the particular zone, and TE is the calculated expected endpoint time (either from a reference zone as discussed above in relation to FIG. 8, or from a preset endpoint time or from a combination of expected endpoint times as discussed above in relation to FIG. 9). In the example of FIG. 10, for the second zone of the first substrate, the desired slope SD2 can be calculated from (IT2−I2)=SD2*(TE−T0), for the first zone of the second substrate, the desired slope SD3 can be calculated from (IT3−I3)=SD3*(TE−T0), and for the second zone of the second substrate, the desired slope SD4 can be calculated from (IT4−I4)=SD4*(TE−T0).

For any of the above methods described above for FIGS. 8-10, the polishing rate is adjusted to bring the slope of index trace closer to the desired slope. The polishing rates can be adjusted by, for example, increasing or decreasing the pressure in a corresponding chamber of a carrier head. The change in polishing rate can be assumed to be directly proportional to the change in pressure, e.g., a simple Prestonian model. For example, for each zone of each substrate, where zone was polished with a pressure Pold prior to the time T0, a new pressure Pnew to apply after time T0 can be calculated as Pnew=Pold*(SD/S), where S is the slope of the line prior to time T0 and SD is the desired slope.

For example, assuming that pressure Pold1 was applied to the first zone of the first substrate, pressure Pold2 was applied to the second zone of the first substrate, pressure Pold3 was applied to the first zone of the second substrate, and pressure Pold4 was applied to the second zone of the second substrate, then new pressure Pnew1 for the first zone of the first substrate can be calculated as Pnew1=Pold1*(SD1/S1), the new pressure Pnew2 for the second zone of the first substrate clan be calculated as Pnew2=Pold2*(SD2/S2), the new pressure Pnew3 for the first zone of the second substrate clan be calculated as Pnew3=Pold3*(SD3/S3), and the new pressure Pnew4 for the second zone of the second substrate clan be calculated as Pnew4=Pold4*(SD4/S4).

The process of determining projected times that the substrates will reach the target thickness, and adjusting the polishing rates, can be performed just once during the polishing process, e.g., at a specified time, e.g., 40 to 60% through the expected polishing time, or performed multiple times during the polishing process, e.g., every thirty to sixty seconds. At a subsequent time during the polishing process, the rates can again be adjusted, if appropriate. During the polishing process, changes in the polishing rates can be made only a few times, such as four, three, two or only one time. The adjustment can be made near the beginning, at the middle or toward the end of the polishing process.

Polishing continues after the polishing rates have been adjusted, e.g., after time T0, and the optical monitoring system continues to collect spectra and determine index values for each zone of each substrate. Once the index trace of a reference zone reaches the target index (e.g., as calculated by fitting a new linear function to the sequence of index values after time T0 and determining the time at which the new linear function reaches the target index), endpoint is called and the polishing operation stops for both substrates. The reference zone used for determining endpoint can be the same reference zone used as described above to calculate the expected endpoint time, or a different zone (or if all of the zones were adjusted as described with reference to FIG. 8, then a reference zone can be selected for the purpose of endpoint determination).

In some implementations, e.g., for copper polishing, after detection of the endpoint for a substrate, the substrate is immediately subjected to an overpolishing process, e.g., to remove copper residue. The overpolishing process can be at a uniform pressure for all zones of the substrate, e.g., 1 to 1.5 psi. The overpolishing process can have a preset duration, e.g., 10 to 15 seconds.

In some implementations, polishing of the substrates does not halt simultaneously. In such implementations, for the purpose of the endpoint determination, there can be a reference zone for each substrate. Once the index trace of a reference zone of a particular substrate reaches the target index (e.g., as calculated by the time the linear function fit the sequence of index values after time T0 reaches the target index), endpoint is called for the particular substrate and application of pressure to all zones of the particular is halted simultaneously. However, polishing of one or more other substrates can continue. Only after endpoint has been called for the all of the remaining substrates (or after overpolishing has been completed for all substrates), based on the reference zones of the remaining substrates, does rinsing of the polishing pad commence. In addition, all of the carrier heads can lift the substrates off the polishing pad simultaneously.

Where multiple index traces are generated for a particular zone and substrate, e.g., one index trace for each library of interest to the particular zone and substrate, then one of the index traces can be selected for use in the endpoint or pressure control algorithm for the particular zone and substrate. For example, the each index trace generated for the same zone and substrate, the controller 190 can fit a linear function to the index values of that index trace, and determine a goodness of fit of the that linear function to the sequence of index values. The index trace generated having the line with the best goodness of fit its own index values can be selected as the index trace for the particular zone and substrate. For example, when determining how to adjust the polishing rates of the adjustable zones, e.g., at time T0, the linear function with the best goodness of fit can be used in the calculation. As another example, endpoint can be called when the calculated index (as calculated from the linear function fit to the sequence of index values) for the line with the best goodness of fit matches or exceeds the target index. Also, rather than calculating an index value from the linear function, the index values themselves could be compared to the target index to determine the endpoint.

Determining whether an index trace associated with a spectra library has the best goodness of fit to the linear function associated with the library can include determining whether the index trace of the associated spectra library has the least amount of difference from the associated robust line, relatively, as compared to the differences from the associated robust line and index trace associated with another library, e.g., the lowest standard deviation, the greatest correlation, or other measure of variance. In one implementation, the goodness of fit is determined by calculating a sum of squared differences between the index data points and the linear function; the library with the lowest sum of squared differences has the best fit.

In some implementations, generation of a new library of reference spectra can be triggered automatically. The controller 190 can store a threshold value that will be used to determine whether to trigger generation of a new library. For example, the threshold value can be set by the operator prior to polishing, or the threshold value can be a pre-programmed value.

During polishing a sequence of measured spectra is obtained for a substrate, e.g., for each zone of a substrate, e.g., using the techniques described above. These measured spectra can be used for control of the polishing rate (as discussed above with reference to FIGS. 8-10) and/or for control of the endpoint. For each measured spectrum from the sequence, a reference spectrum from a preexisting library of reference spectra is selected as the best matching spectrum, e.g., using the techniques described above, thus generating a sequence of best matching spectra.

The controller can be programmed to calculate a value of a metric of fit of the sequence of best matching spectra to the sequence of measured spectra. The value of the metric of fit is compared to the threshold value. If the value of the metric of fit is beyond the threshold value (e.g., above or below, depending on whether a low or high value, respectively, of the metric of fit indicates a good fit), then generation of a new library of reference spectra is triggered.

In some implementations, the metric of fit is a goodness of fit of the linear function to the index trace, e.g., the standard deviation, the correlation, or other measure of variance between the linear function and the sequence of index values for the measured spectra. For example, the metric of fit can be a sum of squared differences between the index data points and the linear function. In some implementations, the metric of fit is based on an accumulated difference between the sequence of measured spectra and the sequence of best matching reference spectra. For example, the metric of fit can determined by calculating a difference between each measured spectrum and the best-matching reference spectrum for that measured spectrum, and summing the differences. Calculating the difference between a measured spectrum and a best matching spectrum can include calculating the difference as a sum of absolute value of differences in intensities over a range of wavelengths. That is,

difference=Σ^(B) _(λ=A) abs(I _(measured)(λ)−I _(reference)(λ))

where A and are the lower limit and upper limit of the range of wavelengths of a spectrum, respectively, and I_(measured)(λ) and I_(reference)(λ) are the intensity of a measured spectra and the intensity of the reference spectra for a given wavelength, respectively. Alternatively, calculating the difference between a measured spectrum and a best matching spectrum can include calculating the difference as a sum of square differences in intensities over a range of wavelengths. That is:

difference=Σ^(B) _(λ=A)(I _(measured)(λ)−I _(reference)(λ))²

In some implementations, the metric of fit is based on a difference between the endpoint time TE for the measured substrate and an averaged endpoint time for prior measured substrates.

If generation of a new library of reference spectra is triggered, then the set of measured spectra from the substrate becomes the new library of reference spectra. This can use similar techniques as the generation of a reference library from the first substrate of a lot as described above. In brief, an index value is generated for and associated with each reference spectrum. The index value can be proportional, e.g., equal, to the platen rotation number at which it was measured from the substrate. In addition, a new target index value can also be generated automatically. The new target index value can be calculated from the platen rotation number at which endpoint was detected for one or prior substrates, e.g., for one or more substrates other than the substrate that triggered the generation of the new library. For example, the new target index value can be calculated from an average, e.g., a weighted average, of the platen rotation number at which endpoint was detected for the two or more consecutive substrates prior to the substrate that triggered the generation of the new library. Alternatively, if the polishing system include another endpoint detection system 180 (other than the spectrographic optical monitoring system 160), then the platen rotation number at the time that the other endpoint detection system 180 detects the endpoint can be set as the target index value. In some implementations, a post-polish thickness measurement of the first substrate can be made, and an initial target index value as determined by one of the techniques above can be adjusted, e.g., by linear scaling, e.g., by multiplying by the ratio of the target thickness to the post-polish measured thickness.

The new library can be added to an existing set of one or more libraries, or can replace an old library.

Referring to FIG. 11, a summary flow chart 600 is illustrated. A plurality of zones of a plurality of substrates are polished in a polishing apparatus simultaneously with the same polishing pad (step 602), as described above. During this polishing operation, each zone of each substrate has its polishing rate controllable independently of the other substrates by an independently variable polishing parameter, e.g., the pressure applied by the chamber in carrier head above the particular zone. During the polishing operation, the substrates are monitored (step 604) as described above, e.g., with a measured spectrum obtained from each zone of each substrate. The reference spectrum that is the best match is determined (step 606). The index value for each reference spectrum that is the best fit is determined to generate sequence of index values (step 610). For each zone of each substrate, a linear function is fit to the sequence of index values (step 610). In one implementation, an expected endpoint time that the linear function for a reference zone will reach a target index value is determined, e.g., by linear interpolation of the linear function (step 612). In other implementations, the expected endpoint time is predetermined or calculated as a combination of expected endpoint times of multiple zones. If needed, the polishing parameters for the other zones of the other substrates are adjusted to adjust the polishing rate of that substrate such that the plurality of zones of the plurality of substrates reach the target thickness at approximately the same time or such that the plurality of zones of the plurality of substrates have approximately the same thickness (or a target thickness) at the target time (step 614). Polishing continues after the parameters are adjusted, and for each zone of each substrate, measuring a spectrum, determining the best matching reference spectrum from a library, determining the index value for the best matching spectrum to generate a new sequence of index values for the time period after the polishing parameter has been adjusted, and fitting a linear function to index values (step 616). Polishing can be halted once the index value for a reference zone (e.g., a calculated index value generated from the linear function fit to the new sequence of index values) reaches target index (step 630).

The techniques described above can also be applicable for monitoring of metal layers using an eddy current system. In this case, rather than performing matching of spectra, the layer thickness (or a value representative thereof) is measured directly by the eddy current monitoring system, and the layer thickness is used in place of the index value for the calculations.

The method used to adjust endpoints can be different based upon the type of polishing performed. For copper bulk polishing, a single eddy current monitoring system can be used. For copper-clearing CMP with multiple wafers on a single platen, a single eddy current monitoring system can first be used so that all of the substrates reach a first breakthrough at the same time. The eddy current monitoring system can then be switched to a laser monitoring system to clear and over-polish the wafers. For barrier and dielectric CMP with multiple wafers on a single platen, an optical monitoring system can be used.

In some implementations, where the polishing system includes another endpoint detection system (other than the spectrographic system), the pressures of the zones can be adjusted using the techniques described above, but the actual endpoint can be detected by the other endpoint detection system. For example, for copper polishing, this permits the spectrographic monitoring system to reduce residue and overpolishing, but permits the other system, e.g., the motor torque sensor or friction based sensor, which can be more reliable in determination of the polishing endpoint, to determine the polishing endpoint.

As used in the instant specification, the term substrate can include, for example, a product substrate (e.g., which includes multiple memory or processor dies), a test substrate, a bare substrate, and a gating substrate. The substrate can be at various stages of integrated circuit fabrication, e.g., the substrate can be a bare wafer, or it can include one or more deposited and/or patterned layers. The term substrate can include circular disks and rectangular sheets.

The controller 190 can include a central processing unit (CPU) 192, a memory 194, and support circuits 196, e.g., input/output circuitry, power supplies, clock circuits, cache, and the like. In addition to receiving signals from the optical monitoring system 160 (and any other endpoint detection system 180), the controller 190 can be connected to the polishing apparatus 100 to control the polishing parameters, e.g., the various rotational rates of the platen(s) and carrier head(s) and pressure(s) applied by the carrier head. The memory is connected to the CPU 192. The memory, or computable readable medium, can be one ore more readily available memory such as random access memory (RAM), read only memory (ROM), floppy disk, hard disk, or other form of digital storage. In addition, although illustrated as a single computer, the controller 190 could be a distributed system, e.g., including multiple independently operating processors and memories.

Embodiments of the invention and all of the functional operations described in this specification can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structural means disclosed in this specification and structural equivalents thereof, or in combinations of them. Embodiments of the invention can be implemented as one or more computer program products, i.e., one or more computer programs tangibly embodied in a machine-readable storage media, for execution by, or to control the operation of, data processing apparatus, e.g., a programmable processor, a computer, or multiple processors or computers. A computer program (also known as a program, software, software application, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file. A program can be stored in a portion of a file that holds other programs or data, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network.

The processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit).

The above described polishing apparatus and methods can be applied in a variety of polishing systems. Either the polishing pad, or the carrier heads, or both can move to provide relative motion between the polishing surface and the substrate. For example, the platen may orbit rather than rotate. The polishing pad can be a circular (or some other shape) pad secured to the platen. Some aspects of the endpoint detection system may be applicable to linear polishing systems, e.g., where the polishing pad is a continuous or a reel-to-reel belt that moves linearly. The polishing layer can be a standard (for example, polyurethane with or without fillers) polishing material, a soft material, or a fixed-abrasive material. Terms of relative positioning are used; it should be understood that the polishing surface and substrate can be held in a vertical orientation or some other orientation.

Particular embodiments of the invention have been described. Other embodiments are within the scope of the following claims. 

What is claimed is:
 1. A computer-implemented method of generating reference spectra, comprising: polishing a first substrate in a polishing apparatus; measuring a sequence of spectra from the first substrate during polishing with an in-situ optical monitoring system; for each spectrum in the sequence of spectra, determining a best matching reference spectrum from a first plurality of first reference spectra to generate a sequence of reference spectra; calculating a value of a metric of fit of the sequence of spectra to the sequence of reference spectra; comparing the value of the metric of fit to a threshold value and determining whether to generate a second library based on the comparison; and if the second library is determined to be generated, storing the sequence of spectra as a second plurality of reference spectra. 2-23. (canceled) 